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3.358

Data Analyst jobs in Germany

Data Scientist Consultant (m/f/d)

Data Scientist Consultant (m/f/d)
Reply S.p.A.
München
EUR 50,000 - 90,000
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Senior Data Scientist (m/w/d)

Senior Data Scientist (m/w/d)
Atos SE
Düsseldorf
EUR 50,000 - 90,000

Data & Analytics Specialist (m/w/d)

Data & Analytics Specialist (m/w/d)
SimpleXX GmbH
Hamburg
EUR 45,000 - 80,000

Data Engineer (m/w/d)

Data Engineer (m/w/d)
plusYOU GmbH
Hamburg
EUR 45,000 - 80,000

(Senior) Consultant Data Scientist (w/m/d)

(Senior) Consultant Data Scientist (w/m/d)
diginea GmbH
Bielefeld
EUR 80,000 - 100,000
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Senior Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph

Senior Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph
SAP SE
Walldorf
EUR 40,000 - 60,000

(Senior) Data Engineer w/m/d

(Senior) Data Engineer w/m/d
Computacenter AG & Co. oHG
München
EUR 60,000 - 80,000

Datenmanager/

Datenmanager/
Aschert & Bohrmann GmbH
Köln
EUR 35,000 - 55,000
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Data Scientist Consultant (m/f/d)

Reply S.p.A.
München
EUR 50.000 - 90.000
Job description

At Machine Learning Reply Germany, we strive to work on leading-edge data science projects with our clients for which we are seeking Data Science consultants with a strong technical background.

Machine Learning Reply, with its sister company in Italy and over 10,000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science and the right organizational frameworks as their backbone. We are a tight-knit, laid-back, but seriously motivated unit that aims to be involved at conferences and in the community of practice with our tech partners.

We offer tailor-made end-to-end solutions in the Data Science area that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and modeling using machine learning algorithms.

We have extensive expertise in the broad Data Science spectrum in all key industries of the German HDAX-companies. With a focus on open source and cloud technologies, we enable our customers to successfully introduce and implement new data-driven solutions and to optimize already existing processes and products.

Responsibilities:
  • Identify and analyze problems in an analytical framework
  • Develop state-of-the-art algorithms using the latest methods and technologies to solve business problems
  • Implement algorithms at scale and automate workflows
  • Use experience from different quantitative fields to solve problems
  • Communicate results effectively to our clients
  • Benefit from our team, learning resources, hackathons, and other sources to drive your technical development and have a presence in the machine learning community
  • Work across technology stacks (e.g., Spark, Azure, AWS, GCP, ELK, etc.)
What we offer you:
  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
  • Very active group social program - including conference funding, team building, group events, Reply Exchange
  • Recognition for Innovation to foster your personal development
  • Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
  • Office space in downtown Munich with access to Stammstrecke
  • Training and certification encouraged
  • Home-office contracts
  • State-of-the-art work equipment
  • Award-winning office spaces for an excellent work experience
  • Public transport ticket within Munich
  • Gym membership subsidy for a gym of your choice
  • Company car scheme
Minimum Requirements:
  • You successfully completed studies in computer science, mathematics, physics, business administration, or equivalent
  • You are interested in exploring different industries and technologies every couple of months
  • You have experience with Python or R for data analysis
  • You have 1+ years of industry/consulting experience in a data role
  • You have experience creating business value solutions or applications
  • You have very good foundations of machine learning and statistics, ideally with expertise in at least one relevant area, e.g., NLP, recommender systems, time series analysis, computer vision, robotics
  • Your knowledge of English is excellent, and you are conversational in German in professional settings
  • You are willing to travel at the national level
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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